Research on the low complexity adaptive power allocation algorithm in cooperative systems

Cooperative diversity is a new technology to improve bit error rate(BER)performance in wireless communications.A new power allocation algorithm to improve BER performance in cellular uplink has been proposed in this paper.Some existing power allocation schemes were proposed for the purpose of maximizing the channel capacity or minimizing the outage probability.Different from these schemes,the proposed algorithm aims at minimizing the BER of the systems under the constraint of total transmission power.Besides this characteristic,the proposed algorithm can realize a low complexity real-time power allocation according to the fluctuation of channels.Simulation results show that the proposed algorithm can decrease the BER performance of the systems effectively.     

Adaptive resource allocation for downlink grouped MC-CDMA systems with power and BER constraints

This paper proposes a complete solution to adaptively allocate resource for downlink Multi-Carrier Code Division Multiple Access (MC-CDMA) systems with the power and bit error rate (BER) constraints. Under frequency-selective fading channels, the whole spectrum is divided into several groups and each user is allocated to a group based on its channel state information (CSI). After grouping, the adaptive modulation algorithm assigns the bit loading and allocates the transmission power for each user according to its effective channel response. Simulation results show that the proposed solution can achieve high throughput, guarantee the required BER, and reduce the blocking probability.     

Scheduling and Resource Allocation Strategy for OFDMA Systems Over Time-Varying Channels

A cross-layer scheduling and resource allocation (SRA) strategy for an adaptive modulation and coding (AMC) based orthogonal frequency multiple access (OFDMA) system is proposed. The objective of this paper is to maximize the system throughput as a function of the bit error rate (BER) and the spectral efficiency based on the selected modulation and coding schemes (MCSs). The proposed strategy contains two main algorithms. Firstly, the scheduling algorithm that aims to maximize the average system throughput by arranging the users in distinct queues according to their priorities and selecting the best user of each queue individually in order to guarantee a fair user service amongst different priority levels. Secondly, the resource allocation algorithm that allocates the user, bit and power based on the channel conditions of the scheduling users and the transmission power constraints. The transmitter of the investigated AMC-OFDMA system at the assigned base station (BS) divides the transmitted OFDMA frame into sub-channels and assigns each sub-channel to a scheduled user. In this paper, we compare the performance of the proposed SRA with the conventional first in first out (FIFO) queuing based scheduling and resource allocation strategies used for an AMC-OFDMA system. The simulation results show that the investigated AMC-OFDMA system based on the proposed SRA strategy outperforms the conventional approaches.     

MC-CDMA系统中的自适应比特和功率分配算法

在研究MC-CDMA系统和自适应比特分配技术的基础上,提出了一种适合MC-CDMA系统的自适应比特和功率分配算法。本算法以扩频支路为单位,根据系统中各子载波的不同信道增益,动态地分配数据比特和发射功率。仿真结果表明,使用该算法可以大大减小发射功率,提高系统性能。     

OFDM系统频率选择性信道功率分配方案

自适应分配技术根据子信道的瞬时估计值动态地分配传输比特数和发送功率,可以优化正交频分复用（OFDM,Orthogonal Frequency Division Multiplex）系统的整体性能。这里讨论了基于容量优化的自适应比特分配算法,基于误比特率优化的最佳功率分配算法和次佳功率分配算法。仿真结果表明,对不同信道环境下三种算法的特点和性能进行了分析和比较。仿真结果表明,自适应分配技术可以优化系统的容量和误比特率。     

Loading Schemes for Downlink OFDMA Systems

In this paper we study the subcarrier and bit allocation strategies for downlink OFDMA system.Our opti-mization objective is to find optimum subcarrier and bit assignment minimizing the total transmitted power with the con-straints on BER and data rate for all users.We divide this problem into three steps:resource allocation,subcarrier assign-ment and single-user power and bit allocation.For the first two steps we propose new algorithms.Various loading schemesconstitute by combining these algorithms as well as algorithms proposed in Ref.[6].Simulation results demonstrate thatour proposed suboptimal loading scheme can achieve performance closer to the near optimal algorithm in Ref.[8]withmuch lower complexity than schemes in Ref.[6].     

MIMO空间复用系统的最小BER比特分配

该文基于最小误比特率(BER)准则,提出了多输入多输出(MIMO)空间复用系统的贪婪比特分配算法和基于二分法的比特分配算法。在总比特速率和每个发射天线分配相等功率的约束条件下,通过比特分配优化每个发射天线的调制方式,改善了系统的BER性能。仿真结果表明,与传统的MIMO系统相比,比特分配的MIMO系统可获得显著的信噪比(SNR)增益;与功率分配相比,比特分配在性能损失很小的情况下减少了每个发射天线的功率放大器的动态范围。     

自适应比特分配算法在高速遥测系统中的应用

提出了一种简单、快速的正交频分复用(OFDM)系统的自适应调制算法。该算法在子信道分配已经完成的前提下,通过信道参数的估计,动态地分配子信道上的比特和功率,使得发送的每个符号的总比特数最大,从而提高信道的利用率及数据传输速率,满足了高速遥测系统所要求的传输速率及误码率。仿真结果表明,与等比特分配算法相比,本自适应比特分配算法相对简单,降低了系统的传输功率,其误码率性能明显好于等比特分配算法。     

New adaptive bit allocation algorithms for multiuser OFDM/CDMA systems

An adaptive bit allocation algorithm is proposed for multiuser transmission in OFDM/CDMA systems. The proposed scheme takes advantage of frequency diversity to dynamically allocate a suitable number of bits/per symbol on subcarriers of each user based on the transmitting objectives such as the required transmission rate and BER. A suboptimal solution to the problem of the bit allocation on subcarriers for each user is derived by minimizing the interference power from each user. Then an algorithm for adjusting the number of allocated bits is used to further reduce the interference without changing the total transmitted data rate. The performance obtained by minimizing the interference resulting from each user is studied in terms of BER, transmission data rate and the system capacity supporting multiple users. The theoretical analysis and simulation results show that the proposed algorithm substantially outperforms those reported previously.     

OFDM-UWB系统基于用户速率的多用户动态资源分配算法

在原有动态资源分配算法基础上,提出了一种基于用户速率需求的动态资源分配算法。该算法在满足用户数据速率需求和服务质量要求(QoS)的前提下,以用户公平性为原则,分步执行子载波和比特分配来降低系统总的发射功率。首先,通过比较不同子载波对用户速率的影响,引入速率影响因子,对子载波进行分配;然后为每个用户子载波分配比特,并根据用户速率需求进行比特调整。为了进一步降低系统的复杂度,提出了一种通过子载波分组来完成子载波比特分配的方法。仿真结果表明,该算法能够降低系统功耗、误码率和系统复杂度。     

差异性QoS条件下CDMA系统在衰落信道中的性能分析

未来B3GCDMA系统采取不同误码率和带宽要求的业务分配不同功率和传输速率的方法。分析了在变速率、多功率级别条件下CDMA系统在衰落信道下的性能，给出了系统接收机信号噪声比的解析表达式和不同业务所需功率之间的关系，并对数值结果进行了讨论。     

Turbo-BLAST系统中基于容量的天线选择和功率分配算法

在不完全信道状态信息条件下,提出了一种适用于Turbo BLAST系统的天线选择和功率分配算法。所提算法以信道容量最大化为准则,从所有天线中选取一组天线子集用于发射,并对选择的天线子集进行注水功率分配,以充分利用Turbo BLAST系统的空间复用增益并提高信道容量。在接收端,采用Turbo原理对接收信号进行迭代检测以改善系统的误比特率性能。仿真结果表明采用所提算法不仅可以显著提高系统的信道容量, 而且误比特率性能也得到明显的改善。      

基于MBER的联合预编码与空时编码GFDM功率分配策略

为改善频率选择性衰落信道上广义频分复用（GFDM）系统的误比特率和频带利用率性能,基于最小误比特率（MBER）准则,提出一种联合预编码和空时编码（STC）的 GFDM 系统及其相应的功率分配策略,可将该功率分配策略的优化目标由MBER转化为最小化其噪声增强因子,并推导了联合预编码与空时编码 GFDM 系统的功率分配、误比特率和频带利用率性能解析表达式。数值计算和仿真结果表明,与预编码STC-GFDM系统相比,基于MBER准则的预编码STC-GFDM系统的误码性能在误比特率为10^-3时改善约0.4 dB,频带利用率性能在信噪比为12 dB时提高约0.24 bit/(s·Hz)。     

频率选择性衰落信道中多用户OFDM系统的自适应分配算法

本文提出一种适用于多径频率选择性衰落信道中多用户OFDM系统的自适应分配算法.算法根据信道瞬时估计值,自适应地为多用户分配子信道和传输比特数,在给定误比特率的条件下,使系统总的发送功率达到最小.作者根据时分复用的基本思想,提出多用户最佳子信道和比特分配算法,导出系统最小发送功率的下限,并在此基础上,进一步提出次佳自适应分配算法.数值模拟表明:次佳算法所需的发送功率比下限值高约1dB;与等比特分配方案相比自适应分配算法可节省功率约3-4dB;与静态信道分配方案相比,自适应分配算法可节省功率6-8dB.     

Channel Selection in Virtual MIMO Wireless Sensor Networks

In this paper, we present two practical algorithms for selecting a subset of channels in virtual multiple-input–multiple-output (MIMO) wireless sensor networks (WSNs) to balance the MIMO advantage consumption of sensor cooperation. If intracluster node-to-node multihop needs be taken into account, the maximum spanning tree searching (MASTS) algorithm, with respect to the cross-layer design, always provides a path connecting all sensors. When the WSN is organized in a manner of cluster-to-cluster multihop, the singular-value decomposition-QR with threshold (SVD-QR-T) approach selects the best subset of transmitters while keeping all receivers active. The threshold is adaptive by means of fuzzy c-means (FCM). These two approaches are compared by simulation against the case without channel selection in terms of capacity, bit error rate (BER), and multiplexing gain with water filling or equal transmission power allocation. Despite less multiplexing gain, when water filling is applied, MASTS achieves higher capacity and lower BER than virtual MIMO without channel selection at moderate-to-high signal-to-noise ratio (SNR), whereas SVD-QR-T by FCM provides the lowest BER at high SNR; in the case of no water filling and equal transmission power allocation, MASTS still offers the highest capacity at moderate-to-high SNR, but SVD-QR-T by FCM achieves the lowest BER. Both algorithms provide satisfying performances with reduced resource consumption.      

Adaptive power loading based on unequal-ber strategy for OFDM systems

An adaptive power loading algorithm with uniform (nonadaptive) bit allocation is proposed for constant data rate OFDM systems in this letter. This algorithm aims to minimize the transmit power while guaranteeing the target mean bit error rate (BER). The power loading is based on the Unequal-BER (UBER) strategy which permits unequal mean BERs on different subcarriers. The closed-form expressions for optimal BER and power distributions are derived. Simulation results indicate the superiority of the proposed algorithm.     

Turbo-BLAST系统中天线选择和功率分配算法

提出一种适用于Turbo-BLAST系统的自适应天线选择和功率分配算法,所提算法以误比特率为优化目标,并且考虑了信道估计误差的影响.在总功率约束条件下,采用所提算法进行天线选择和自适应功率分配,并利用软干扰抵消算法对接收信号进行迭代检测,以进一步改善系统性能.仿真结果表明:采用所提算法可以显著改善系统的误比特率性能.     

一种无线OFDM系统中的高效功率和比特分配算法

在限定无线OFDM通信系统的传输速率和最大误码率的情况下,该文提出了一种最小化发射功率的高效功率和比特分配算法。该算法首先利用注水水平和系统传输速率之间的关系求出无需预设步长和初始值的注水水平迭代公式,然后在部分子载波上使用简化的Greedy算法进行强制收敛。由于充分地利用了注水算法和Greedy算法的优点,该文算法不仅有效地避免了传统自适应算法的收敛性、初始值和步长选择等问题,而且计算效率更高。仿真结果验证了该算法的有效性。     

OFDM系统中的自适应比特功率分配算法

正交频分复用(OFDM)系统各子信道具有不同的衰落特性,如果采用相同的调制方式,则不能更好地利用系统资源。在系统容量受限和误比特率一定的条件下,文章提出了一种高效的OFDM自适应比特功率分配算法。在要求误比特率BER<10-3时,该算法与Chow算法相比,发射总功率减小了2.5 dB;与Hughes-Hartogs算法相比,系统消耗的总时间也明显缩短。仿真结果验证了算法的有效性。     

存在信道反馈延迟时Turbo-BLAST系统的自适应功率分配算法

该文针对信道反馈有延迟的Turbo-BLAST系统,以误比特率(Bit Error Rate, BER)为优化目标,提出次优和最优两种自适应功率分配算法。通过系统建模和性能分析,推导出系统瞬时信噪比(Signal Noise Ratio, SNR)的条件概率密度函数,利用数学变换得到信道反馈有延迟时系统BER的表达式。发送端在总功率约束条件下,分别采用拉格朗日极值法和牛顿迭代法求解功率分配矩阵的次优解与最优解。接收端采用基于迫零(Zero Forcing, ZF)准则的软干扰抵消算法进行迭代检测。仿真结果表明,和等功率分配相比,采用该文所提两种算法均可改善系统的BER性能。最优功率分配算法以增加计算复杂度为代价更好地改善了系统的BER性能,而接收端的迭代检测可进一步改善系统性能。